MLOPS Engineer

XPath Solutions
Concord, CA

Location: Concord, CA (100% Onsite )

Hire Type: Contract

Employment Eligibility: GC and USC

Role Summary

Seeking a Senior MLOps Engineer to build, deploy, and operate production-grade ML systems . This role focuses on automating the ML lifecycle , enabling scalable cloud deployments , and ensuring model reliability, monitoring, and governance in an enterprise environment.

Key Responsibilities

  • Build and maintain end-to-end ML pipelines using MLflow, Kubeflow, or Vertex AI

  • Automate model training, testing, deployment, monitoring, and retraining

  • Implement CI/CD workflows for model versioning and lifecycle management

  • Deploy ML workloads on Google Cloud Platform, AWS, or Azure using Docker and Kubernetes

  • Monitor model performance, drift, and compliance with model governance (MRM, explainability)

  • Support low-latency inference APIs for real-time and batch scoring

  • Leverage AutoML tools (Vertex AI AutoML, H2O Driverless AI) for rapid model delivery

Required Qualifications

  • 10+ years in Software Engineering and 3+ years in MLOps / ML Operations

  • Strong hands-on experience with Java, Python, SQL

  • Experience with ML frameworks ( scikit-learn, XGBoost, TensorFlow, PyTorch )

  • Hands-on delivery of 3–4 production ML projects

  • Experience with Docker, Kubernetes, CI/CD pipelines

  • Familiarity with Airflow, Spark , and ML Ops frameworks

  • Strong communication and stakeholder management skills

 

Posted 2026-01-15

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